In this work, we show that this simple method can be a very competitive baseline that either outperforms or is on par with most state-of-the-art methods on two popular benchmarks, (DomainNet [1]} and VisDa-17 [2]}). Note that most state-of-the-art method on DA employ complicated algorithms, adversarial learning, that are not straight forward for optimization and reproducibility. Therefore, we believe our simple baseline can have a positive impact on the design of future DA methods.
